TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 20, 2:39 AM EST
Kalshi
This set of markets tracks the potential margin of victory in an upcoming college football game, allowing participants to speculate on how decisively either team might win. Each market corresponds to a specific point differential threshold that must be exceeded for the bet to pay out.
All markets resolve based on the official final score of the Fresno St. vs San Jose St. college football game scheduled for Sep 19, 2026. For Fresno St. markets, resolution occurs if they win by more than the specified point margin; for San Jose St. markets, resolution occurs if they win by more than the specified margin. If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve per the final result. If the game fails to start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants under these contingency conditions.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own modeling and aim to balance action on both sides, while this market allows anyone to trade based on their own insights. Often, prediction markets are more accurate than traditional forecasts, as they aggregate diverse perspectives and incentivize accurate predictions. However, sportsbook odds are easily accessible and widely followed, offering a common benchmark for comparison. It’s common to see initial discrepancies that narrow as the event approaches.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes for the Fresno State vs San Jose State spread. The price of each contract reflects the market’s collective assessment of the probability of that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their positions based on new information, leading to dynamic price fluctuations. The more a particular spread is bought, the higher its price rises, indicating increased confidence in that outcome. This creates a real-time, market-driven forecast.
This market resolves around Sep 20, 2026, with the outcome confirmed once the final point spread of the Fresno State vs San Jose State game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing sports body for college football. Traders who correctly predicted the spread will receive a payout based on the final market price at resolution. It’s important to monitor news sources leading up to the game to stay informed about any factors that could influence the final score.
Several signals could significantly move this market. Any news regarding key player injuries for either Fresno State or San Jose State would likely cause a shift in the odds. Changes in weather forecasts, particularly if they suggest adverse conditions, could also impact the spread. Unexpected coaching decisions or strategic adjustments announced by either team could also influence trader sentiment. Finally, any significant public information regarding team morale or preparation could lead to adjustments in this market as traders react to the latest developments.